Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Single-nucleus multiome analysis in the human prefrontal cortex identifies gene expression and cis-regulatory elements associated with aging.
PMID 41832957 · PMC13137218 · Cell reports · 2026 · 8 claims · 8 setups
Generated a single-nucleus multiome (snATAC + gene expression) dataset from 357 human dorsolateral prefrontal cortex samples (ages 15-100, European and African admixed ancestry), yielding over 1.5 million cells as a public resource.
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Has reproduction · 87
Forseti: a mechanistic and predictive model of the splicing status of scRNA-seq reads.
PMID 38940130 · PMC11256924 · Bioinformatics (Oxford, England) · 2024 · 7 claims · 5 setups
Forseti is the first probabilistic model for resolving the splicing status of exonic scRNA-seq reads by scoring putative fragments linking read alignments to proximate priming sites
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Has reproduction · 84
Single-cell protein activity analysis reveals aberrant myogenesis and IGF2-PI3K pathway dependencies in MYOD1-mutant rhabdomyosarcoma.
PMID 41758938 · PMC12947870 · Science advances · 2026 · 8 claims · 8 setups
MYOD1 L122R-mutant SRMS tumors contain three coexisting, conserved cell states (progenitor, transition, differentiated) reflecting aberrant myogenic differentiation
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Has reproduction · 67
Sequencing mRNA from cryo-sliced Drosophila embryos to determine genome-wide spatial patterns of gene expression.
PMID 23951250 · PMC3741199 · PloS one · 2013 · 8 claims · 8 setups
Cryosectioning single blastoderm-stage D. melanogaster embryos along the A–P axis and sequencing mRNA from each slice yields reliable genome-wide spatial expression patterns.
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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides
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ENCODE whole-genome data in the UCSC Genome Browser.
PMID 19920125 · PMC2808953 · Nucleic acids research · 2010 · 7 claims · 8 setups
The UCSC ENCODE Data Coordination Center serves as the primary repository for ENCODE experimental results, providing access via Genome Browser, Table Browser, and FTP download.